11 citations · 13 across the 2 of their papers we have counts for
4 papers
SetConv: A New Approach for Learning from Imbalanced Data
Yang Gao, Yi-Fan Li, Yu Lin +2
For many real-world classification problems, e.g., sentiment classification, most existing machine learning methods are biased towards the majority class when the Imbalance Ratio (…
Towards Self-Adaptive Metric Learning On the Fly
Yang Gao, Yi-Fan Li, Swarup Chandra +2
Good quality similarity metrics can significantly facilitate the performance of many large-scale, real-world applications. Existing studies have proposed various solutions to learn…
Deep Learning on Knowledge Graph for Recommender System: A Survey
Yang Gao, Yi-Fan Li, Yu Lin +2
Recent advances in research have demonstrated the effectiveness of knowledge graphs (KG) in providing valuable external knowledge to improve recommendation systems (RS). A knowledg…
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics
Yang Gao, Swarup Chandra, Zhuoyi Wang +1
When performing data classification over a stream of continuously occurring instances, a key challenge is to develop an open-world classifier that anticipates instances from an unk…